Abstract: The subject disclosure pertains to systems and methods that facilitate monitoring of data collections and related data retrieval systems as well as generating recommendations for enhancing performance and utility of such systems. In aspects, the systems and methods described herein evaluate data retrieval performance by identifying unsuccessful search queries and mapping such queries to appropriate content in a data collection. To facilitate such evaluation, similar queries can be grouped and treated as equivalent. Similarity of queries can be determined based upon search terms. For example, queries whose search terms only vary syntactically can be combined in a group. Such groups can include search information related to multiple users, increasing reliability of recommendations based upon such groups. In further aspects, recommendations for adding content can be generated in conjunction with any mapping recommendations.

Abstract: A method is provided for analyzing a plurality of search sessions to identify intent-based clusters therein. Each session comprises at least one received query from a user and a corresponding set of returned search results, and each set of search results includes or refers to at least one piece of content. Each cluster represents a group of similar search sessions that are perceived as representing a common purpose and that can be mapped to a common set of search results. In the method, for each search session, each received query thereof, the corresponding set of search results, and whether any particular piece of content of the search results was acceptable to the user as responsive to the corresponding search session are identified. Thereafter, search sessions are grouped into clusters.

Abstract: The subject disclosure pertains to systems and methods that facilitate monitoring of data collections and related data retrieval systems as well as generating recommendations for enhancing performance and utility of such systems. In aspects, the systems and methods described herein evaluate data retrieval performance by identifying unsuccessful search queries and mapping such queries to appropriate content in a data collection. To facilitate such evaluation, similar queries can be grouped and treated as equivalent. Similarity of queries can be determined based upon search terms. For example, queries whose search terms only vary syntactically can be combined in a group. Such groups can include search information related to multiple users, increasing reliability of recommendations based upon such groups. In further aspects, recommendations for adding content can be generated in conjunction with any mapping recommendations.